Manufacturing AI Deployment Lead (FDE)

NTT DATA, Inc.

Plano (TX)

Hybrid

USD 201,000 - 367,000

Full time

3 days ago

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Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid time off

Job summary

NTT DATA Services in Plano, TX is seeking a Forward-Deployed Engineer (FDE) - Manufacturing to lead the implementation of AI products within customer environments, translating requirements into production-ready configurations and workflows. You will collaborate with stakeholders and drive deployments from discovery through production rollout in manufacturing contexts.

The role blends product implementation with consulting, cloud and AI expertise, and platform technology.

Qualifications

6+ years of experience in software engineering, solution engineering, implementation consulting, platform engineering, DevOps, customer engineering, or a related technology role.
2+ years of experience implementing, configuring, deploying, or supporting enterprise software products, SaaS platforms, AI solutions, or cloud-based applications within Manufacturing customer environments.
Demonstrated experience working directly with customers in a consulting, implementation, solution delivery, or technical advisory capacity.

Responsibilities

Lead end-to-end implementation of AI products within customer environments, including discovery, design, configuration, deployment, user adoption, and optimization activities.
Partner with customer stakeholders to understand business objectives, operational processes, challenges, and success criteria.
Translate customer business requirements, workflows, and operating procedures into platform configurations, business rules, integrations, and AI-enabled workflows.
Configure and deploy product capabilities, including workflows, connectors, business rules, extraction models, and customer-specific settings.
Collaborate with product, engineering, architecture, and customer teams to ensure implementations align with business requirements and technical standards.
Deploy and support AI product solutions within cloud and customer-hosted environments using established deployment and operational processes.
Integrate products with customer applications, data sources, APIs, identity platforms, and enterprise systems.
Conduct implementation workshops, design reviews, user training sessions, and solution demonstrations with business and technical stakeholders.
Monitor implementation performance, troubleshoot issues, and recommend improvements to optimize adoption, scalability, and operational outcomes.
Document solution configurations, implementation approaches, deployment procedures, and operational best practices.
Provide structured feedback to product and engineering teams regarding customer requirements, enhancement opportunities, recurring implementation patterns, and product improvement recommendations.
Contribute reusable assets, implementation playbooks, configuration templates, and deployment methodologies that improve delivery consistency and scalability.